{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/kclay/Dropbox/Lead/lead/data sets and do files/restat_replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 8 Oct 2014, 16:14:11
{txt}
{com}. 
. **Merging
. *City infant mortality
. use cityinfmort6.dta
{txt}
{com}. *Assigning lead status to cities
. do masslead.do
{txt}
{com}. /*cities with lead or mixed*/
. 
. /*unknown*/ gen masslead = 0
{txt}
{com}. 
. /*none*/ replace masslead = 1 if cityd==2710 | cityd==4030 | cityd==4530 | cityd==7250 | cityd==3550 | cityd==5510 | cityd==850
{txt}(7 real changes made)

{com}. replace masslead = 1 if cityd==870 | cityd==930 | cityd==2250  | cityd==2510 | cityd==3810  | cityd==3990 | cityd==4690 | cityd==5390 | cityd==6510 | cityd==6570
{txt}(10 real changes made)

{com}. replace masslead = 1 if cityd==6670 | cityd==6910 | cityd==7170 | cityd==7570 | cityd==1490 | cityd==4390 | cityd==4730 | cityd==7210 | cityd==370 | cityd==2050
{txt}(10 real changes made)

{com}. replace masslead = 1 if cityd==7010 | cityd==390 | cityd==750 | cityd==2070 | cityd==4290 | cityd==150 | cityd==1170 | cityd==2090 | cityd==7470 | cityd==4210
{txt}(10 real changes made)

{com}. replace masslead = 1 if cityd==2170 | cityd==2270 | cityd==5470 | cityd==10 | cityd==990 | cityd==4650 | cityd==2550 | cityd==3370 | cityd==7270 | cityd==3260 | cityd==6690
{txt}(10 real changes made)

{com}. replace masslead = 1 if cityd==5910 | cityd==4170 | cityd==3110 | cityd==6890 | cityd==410 | cityd==7510 | cityd==1410 | cityd==2350 | cityd==2890
{txt}(8 real changes made)

{com}. replace masslead = 1 if cityd==530 | cityd==4990 | cityd==3330 | cityd==4970 | cityd==30 | cityd==710 | cityd==4930 | cityd==5150 | cityd==6030
{txt}(9 real changes made)

{com}. 
. replace masslead = 1 if cityd==190 | cityd==230 | cityd==270 | cityd==430 | cityd==550 | cityd==570 | cityd==670 | cityd==740 | cityd==905
{txt}(8 real changes made)

{com}. replace masslead = 1 if cityd==970 | cityd==1070 | cityd==1430 | cityd==1850 | cityd==2400 | cityd==2570 | cityd==2590 | cityd==3090 | cityd==3680
{txt}(6 real changes made)

{com}. replace masslead = 1 if cityd==3690 | cityd==3850 | cityd==3930 | cityd==3950 | cityd==4330 | cityd==4840 | cityd==4870 
{txt}(5 real changes made)

{com}. replace masslead = 1 if cityd==5070 | cityd==5110 | cityd==5250 | cityd==5350 | cityd==5450 | cityd==5890 | cityd==6150 | cityd==6250 | cityd==6330
{txt}(7 real changes made)

{com}. replace masslead = 1 if cityd==6350 | cityd==7150 
{txt}(0 real changes made)

{com}. 
. /*mixed*/ replace masslead = 2 if cityd==830 | cityd==4470 | cityd==4770 | cityd==5230 | cityd==5050 | cityd==5290 | cityd==3310 | cityd==4610 | cityd==7030
{txt}(9 real changes made)

{com}. replace masslead = 2 if cityd==730 | cityd==2690 | cityd==2750 | cityd==3170 | cityd==3450 | cityd==4510 | cityd==5330 | cityd==5790 | cityd==6410 | cityd==6470
{txt}(10 real changes made)

{com}. replace masslead = 2 if cityd==1190 | cityd==5690 | cityd==3230 | cityd==2630 | cityd==4430 | cityd==610 | cityd==1450 | cityd==3610 | cityd==7190 | cityd==7650
{txt}(10 real changes made)

{com}. replace masslead = 2 if cityd==5090 | cityd==1370 | cityd==1730 | cityd==3250 | cityd==6990 | cityd==3210 | cityd==3790 | cityd==4750 | cityd==5590 | cityd==4250 
{txt}(8 real changes made)

{com}. replace masslead = 2 if cityd==6370 | cityd==7530 | cityd==1050 | cityd==2410 | cityd==4010 | cityd==1390 | cityd==910 | cityd==3730 | cityd==6290 | cityd==6430 | cityd==7230
{txt}(11 real changes made)

{com}. 
. replace masslead = 2 if cityd==590 | cityd==900 | cityd==1230 | cityd==1400 | cityd==2970 | cityd==3520 | cityd==4230 | cityd==4370 | cityd==4490 | cityd==5410 | cityd==5490
{txt}(9 real changes made)

{com}. replace masslead = 2 if cityd==5570 | cityd==5610 | cityd==5850 
{txt}(3 real changes made)

{com}. 
. /*lead*/ replace masslead = 3 if cityd==4890 | cityd==6730 | cityd==810 | cityd==1130 | cityd==1210 | cityd==2190 | cityd==2230 | cityd==2730 | cityd==2850 | cityd==3510 | cityd==3770
{txt}(11 real changes made)

{com}. replace masslead = 3 if cityd==3890 | cityd==4450 | cityd==5710 | cityd==3910 | cityd==5650 | cityd==7550 | cityd==7490 | cityd==650 | cityd==950 | cityd==2810 | cityd==4630
{txt}(11 real changes made)

{com}. replace masslead = 3 if cityd==7330 | cityd==50 | cityd==170 | cityd==890 | cityd==4590 | cityd==4670 | cityd==4790 | cityd==5630 | cityd==5930 | cityd==6390 | cityd==6850 | cityd==7590
{txt}(12 real changes made)

{com}. replace masslead = 3 if cityd==110 | cityd==130 | cityd==3970 | cityd==4830 | cityd==5370 | cityd==7610 | cityd==470 | cityd==2030 | cityd==3190 | cityd==5270 | cityd==5950 | cityd==5970
{txt}(12 real changes made)

{com}. replace masslead = 3 if cityd==6650 | cityd==1870 | cityd==2330 | cityd==2990 | cityd==6590 | cityd==630 | cityd==1750 | cityd==2530 | cityd==3070 | cityd==3470 | cityd==6050
{txt}(11 real changes made)

{com}. replace masslead = 3 if cityd==1290 | cityd==1330 | cityd==1670 | cityd==2610 | cityd==3710 | cityd==6710 | cityd==6970 | cityd==7630 | cityd==3870 | cityd==4130 | cityd==5730
{txt}(11 real changes made)

{com}. replace masslead = 3 if cityd==6830 | cityd==1010 | cityd==1510 | cityd==6510 | cityd==4150 | cityd==6110
{txt}(4 real changes made)

{com}. replace masslead = 3 if cityd==6090 | cityd==3630 | cityd==5010 | cityd==6610 | cityd==4810 | cityd==5870 | cityd==770 | cityd==350 | cityd==4570 | cityd==1530 | cityd==3570
{txt}(10 real changes made)

{com}. replace masslead = 3 if cityd==3750 | cityd==4710 | cityd==4410 | cityd==4411 | cityd==7390 | cityd==1710 | cityd==6210 | cityd==6630
{txt}(7 real changes made)

{com}. 
. 
. replace masslead = 3 if cityd==70 | cityd==1420 | cityd==2220 | cityd==2280 | cityd==3050 | cityd==3270 | cityd==3290 | cityd==4550
{txt}(6 real changes made)

{com}. replace masslead = 3 if cityd==5750 | cityd==5990 | cityd==6280 | cityd==6770 | cityd==7120 
{txt}(5 real changes made)

{com}. 
. 
{txt}end of do-file

{com}. drop if masslead==.
{txt}(0 observations deleted)

{com}. *Merging in city demographics
. sort cityd
{txt}
{com}. merge cityd using citych.dta
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt} cityd
does not uniquely identify observations in
the master data
{p_end}

{com}. drop _merge
{txt}
{com}. drop if masslead==.
{txt}(57 observations deleted)

{com}. *Merging in hardness and acidity
. sort cityd
{txt}
{com}. merge cityd using hardnessacidity6.dta
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt} cityd
does not uniquely identify observations in
the master data
{p_end}

{com}. drop _merge
{txt}
{com}. *Merging in state precipitation and temperature
. *Giving DC the attributes for VA for precip and temp
. replace stateicp = 40 if stateicp==98
{txt}(1 real change made)

{com}. sort stateicp
{txt}
{com}. merge stateicp using statepcp.dta
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt} stateicp
does not uniquely identify observations in
the master data
{p_end}
{p 0 7 2}
(note: variable
state was float in the using data, but will be
str2 now)
{p_end}

{com}. drop _merge
{txt}
{com}. sort stateicp
{txt}
{com}. merge stateicp using statetemp.dta
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt} stateicp
does not uniquely identify observations in
the master data
{p_end}
{p 0 7 2}
(note: variable
state was float in the using data, but will be
str2 now)
{p_end}

{com}. drop _merge
{txt}
{com}. rename avtemp statetempav
{res}{txt}
{com}. rename avpcp statepcpav
{res}{txt}
{com}. 
. *Cleanup
. drop if cityd==0
{txt}(0 observations deleted)

{com}. drop if masslead==0
{txt}(439 observations deleted)

{com}. drop if cityd==.
{txt}(8 observations deleted)

{com}. 
. *Reshaping
. reshape long allcount infcount pop popfive popsixty citypop white read age working workingwomen ownhome fborn momcount, i(cityd) j(year)
{txt}(note: j = 1900 1905 1910 1915 1920)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}     281   {txt}->{res}    1405
{txt}Number of variables            {res}      86   {txt}->{res}      31
{txt}j variable (5 values)                     ->   {res}year
{txt}xij variables:
{res}allcount1900 allcount1905 ... allcount1920{txt}->   {res}allcount
infcount1900 infcount1905 ... infcount1920{txt}->   {res}infcount
            pop1900 pop1905 ... pop1920   {txt}->   {res}pop
popfive1900 popfive1905 ... popfive1920   {txt}->   {res}popfive
popsixty1900 popsixty1905 ... popsixty1920{txt}->   {res}popsixty
citypop1900 citypop1905 ... citypop1920   {txt}->   {res}citypop
      white1900 white1905 ... white1920   {txt}->   {res}white
         read1900 read1905 ... read1920   {txt}->   {res}read
            age1900 age1905 ... age1920   {txt}->   {res}age
working1900 working1905 ... working1920   {txt}->   {res}working
workingwomen1900 workingwomen1905 ... workingwomen1920{txt}->{res}workingwomen
ownhome1900 ownhome1905 ... ownhome1920   {txt}->   {res}ownhome
      fborn1900 fborn1905 ... fborn1920   {txt}->   {res}fborn
momcount1900 momcount1905 ... momcount1920{txt}->   {res}momcount
{txt}{hline 77}

{com}. *Correcting some populations
. replace citypop = 197 if cityd==4550 & year==1910
{txt}(1 real change made)

{com}. replace citypop = 194 if cityd==4550 & year==1905
{txt}(1 real change made)

{com}. 
. *Merging in Typhoid and Tuberculosis
. sort cityd year
{txt}
{com}. merge cityd year using typtuball.dta
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}

{com}. drop _merge
{txt}
{com}. sort cityd year
{txt}
{com}. **Merging completed
. 
. 
. *Lead and acidity variables
. rename masslead lead
{res}{txt}
{com}. *leadb is dummy for any lead (0=no lead, 1 = mixed or only lead)
. gen leadb = 0
{txt}
{com}. replace leadb=0 if lead==1
{txt}(0 real changes made)

{com}. replace leadb=1 if lead==2 | lead==3
{txt}(800 real changes made)

{com}. *leadc is dummy for only lead (0=no lead or mixed lead, 1 = only lead)
. gen leadc = 0
{txt}
{com}. replace leadc = 1 if lead==3
{txt}(500 real changes made)

{com}. 
. rename acidity ph
{res}{txt}
{com}. gen origph = ph
{txt}(5 missing values generated)

{com}. gen ph1 = origph-6.675
{txt}(5 missing values generated)

{com}. gen lnph = ln(origph-5.675)
{txt}(10 missing values generated)

{com}. gen lnhardness = ln(hardness)
{txt}(5 missing values generated)

{com}. 
. gen lead1 = lead
{txt}(160 missing values generated)

{com}. replace lead1 = 4 if lead==1 & origph>7.3
{txt}(230 real changes made)

{com}. replace lead1 = 5 if lead==2 & origph>7.3
{txt}(170 real changes made)

{com}. replace lead1 = 6 if lead==3 & origph>7.3
{txt}(300 real changes made)

{com}. 
. gen leadlowph = 0
{txt}
{com}. replace leadlowph = 1 if lead==3 & ph<=7.3
{txt}(200 real changes made)

{com}. 
. gen phharda = ph1*hardness
{txt}(5 missing values generated)

{com}. 
. gen time = year - 1899
{txt}
{com}. gen timeph = time*ph1
{txt}(5 missing values generated)

{com}. 
. *Generating infant mortality by acidity for cities with lead pipes
. gen infrate = infcount/citypop
{txt}(428 missing values generated)

{com}. egen acid1 = mean(infrate) if lead==3 & ph<=6.5 & infrate!=., by(year)
{txt}(1317 missing values generated)

{com}. egen acid2 = mean(infrate) if lead==3 & ph>6.5 & ph<=7.3 & infrate!=., by(year)
{txt}(1317 missing values generated)

{com}. egen acid3 = mean(infrate) if lead==3 & ph>7.3 & ph<=7.8& infrate!=., by(year)
{txt}(1289 missing values generated)

{com}. egen acid4 = mean(infrate) if lead==3 & ph>7.8 & infrate!=., by(year)
{txt}(1279 missing values generated)

{com}. 
. 
. *City populations
. gen ncitypop = 1
{txt}
{com}. replace ncitypop = 2 if citypop>214.5
{txt}(1211 real changes made)

{com}. replace ncitypop = 3 if citypop>357.5
{txt}(895 real changes made)

{com}. replace ncitypop = 4 if citypop>804
{txt}(538 real changes made)

{com}. egen leadpop = sum(citypop)if year==1900 & infrate~=., by(lead)
{txt}(1233 missing values generated)

{com}. 
. 
. *Region, agglomerating other regions beyond 21 into a single region
. gen nregion = 1 if region==11
{txt}(1140 missing values generated)

{com}. replace nregion = 2 if region==12
{txt}(285 real changes made)

{com}. replace nregion = 3 if region==21
{txt}(315 real changes made)

{com}. replace nregion = 4 if region>21
{txt}(540 real changes made)

{com}. 
. *Generating control variables
. gen adultrate = (allcount-infcount)/citypop
{txt}(428 missing values generated)

{com}. gen momshare = momcount/citypop
{txt}(249 missing values generated)

{com}. gen popfiveshare = popfive/citypop
{txt}(249 missing values generated)

{com}. gen popsixtyshare = popsixty/citypop
{txt}(255 missing values generated)

{com}. gen tyrate = typ/citypop
{txt}(428 missing values generated)

{com}. gen nptubrate = nptub/citypop
{txt}(428 missing values generated)

{com}. replace popsixtyshare = 0 if popsixtyshare==.
{txt}(255 real changes made)

{com}. 
. *Dropping cities without populations and without infant mortality
. drop if citypop ==.
{txt}(248 observations deleted)

{com}. drop if infrate==. & year>1900
{txt}(108 observations deleted)

{com}. sort cityd
{txt}
{com}. egen cityfreq = count(year), by(cityd)
{txt}
{com}. drop if cityfreq==1 & year==1900 & infrate==.
{txt}(6 observations deleted)

{com}. 
. *Standardizing some control variables to have mean 0, sd 1
. egen ntyph = std(tyrate)
{txt}(66 missing values generated)

{com}. drop tyrate
{txt}
{com}. rename ntyph tyrate
{res}{txt}
{com}. 
. egen nnptub = std(nptubrate)
{txt}(66 missing values generated)

{com}. drop nptubrate
{txt}
{com}. rename nnptub nptubrate
{res}{txt}
{com}. 
. egen nstatetempav = std(statetempav)
{txt}
{com}. drop statetempav
{txt}
{com}. rename nstatetempav statetempav
{res}{txt}
{com}. 
. egen nstatepcpav = std(statepcpav)
{txt}
{com}. drop statepcpav
{txt}
{com}. rename nstatepcpav statepcpav
{res}{txt}
{com}. 
. *Labeling variables
. label var acid1 "Lowest pH"
{txt}
{com}. label var acid2 "Second lowest pH"
{txt}
{com}. label var acid3 "Third lowest pH"
{txt}
{com}. label var acid4 "Fourth lowest pH"
{txt}
{com}. label var ph "pH"
{txt}
{com}. label var hardness "Hardness"
{txt}
{com}. label var lead "Lead"
{txt}
{com}. label define lead 1 "No lead"  2 "Mixed lead"  3 "Lead only"
{txt}
{com}. label var lead1 "Lead by Acidity"
{txt}
{com}. label define lead1 1 "No lead,pH<=7.3"  2 "Mixed lead,pH<=7.3"  3 "Lead only,pH<=7.3" 4 "No lead,pH>7.3"  5 "Mixed lead,pH>7.3"  6 "Lead only,pH>7.3"
{txt}
{com}. label var nregion "Region"
{txt}
{com}. label define nregion 1 "New England"  2 "Mid-Atlantic"  3 "East North Central" 4 "All other"
{txt}
{com}. label var statepcpav "Precipitation"
{txt}
{com}. label var statetempav "Temperature"
{txt}
{com}. label var lnhardness "ln(hardness)"
{txt}
{com}. label var lnph "ln(pH-5.675)"
{txt}
{com}. label var ph1 "pH-6.675"
{txt}
{com}. label var tyrate "Typhoid"
{txt}
{com}. label var nptubrate "NonPulm Tuberculosis"
{txt}
{com}. label var white "Share White"
{txt}
{com}. label var fborn "Share Foreign Born"
{txt}
{com}. label var momshare "Share Women 20-40"
{txt}
{com}. label var age "Age"
{txt}
{com}. label var popfive "Share Ages 2-5"
{txt}
{com}. label var popsixty "Share Age > 60"
{txt}
{com}. label var ncitypop "City Population"
{txt}
{com}. label define ncitypop 1 "Citypop Q1"  2 "Citypop Q2"  3 "Citypop Q3" 4 "Citypop Q4"
{txt}
{com}. 
. *Table 1: Health Effects from Troesken
. 
. *Table 2: Summary Statistics
. sum infrate adultrate ph hardness tyrate nptubrate momshare fborn white citypop statepcp statetemp if year==1900 & infrate!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 5}infrate {c |}{res}       172     .396194    .1513249   .1097561   .8444657
{txt}{space 3}adultrate {c |}{res}       172    1.438972    .3316976   .7723926   2.702509
{txt}{space 10}ph {c |}{res}       172    7.222674    .6195479        5.7        8.3
{txt}{space 4}hardness {c |}{res}       172    109.2628    105.4764          2        453
{txt}{space 6}tyrate {c |}{res}       172    .5496173    1.004334  -.8966559    4.18299
{txt}{hline 13}{c +}{hline 56}
{space 3}nptubrate {c |}{res}       172    .3365032    .9237526  -1.234205   3.170194
{txt}{space 4}momshare {c |}{res}       172    .1989602    .0320941   .1308901    .323741
{txt}{space 7}fborn {c |}{res}       172    .2169771    .1104728          0   .5822222
{txt}{space 7}white {c |}{res}       172     .938043    .1234486   .3245283          1
{txt}{space 5}citypop {c |}{res}       172    1087.962    3137.315         85   34355.54
{txt}{hline 13}{c +}{hline 56}
{space 2}statepcpav {c |}{res}       172    .0676624    .9033237  -3.634876   2.290766
{txt}{space 1}statetempav {c |}{res}       172   -.1577314    .9046828  -1.669085    3.62361
{txt}
{com}. sum lead* if year==1900 & infrate!=. & lead==1

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}lead {c |}{res}        55           1           0          1          1
{txt}{space 7}leadb {c |}{res}        55           0           0          0          0
{txt}{space 7}leadc {c |}{res}        55           0           0          0          0
{txt}{space 7}lead1 {c |}{res}        55    2.254545     1.49342          1          4
{txt}{space 3}leadlowph {c |}{res}        55           0           0          0          0
{txt}{hline 13}{c +}{hline 56}
{space 5}leadpop {c |}{res}        55       25892           0      25892      25892
{txt}
{com}. sum lead* if year==1900 & infrate!=. & lead==2

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}lead {c |}{res}        42           2           0          2          2
{txt}{space 7}leadb {c |}{res}        42           1           0          1          1
{txt}{space 7}leadc {c |}{res}        42           0           0          0          0
{txt}{space 7}lead1 {c |}{res}        42    3.571429     1.51646          2          5
{txt}{space 3}leadlowph {c |}{res}        42           0           0          0          0
{txt}{hline 13}{c +}{hline 56}
{space 5}leadpop {c |}{res}        42    85218.54           0   85218.54   85218.54
{txt}
{com}. sum lead* if year==1900 & infrate!=. & lead==3

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}lead {c |}{res}        75           3           0          3          3
{txt}{space 7}leadb {c |}{res}        75           1           0          1          1
{txt}{space 7}leadc {c |}{res}        75           1           0          1          1
{txt}{space 7}lead1 {c |}{res}        75        4.72    1.493771          3          6
{txt}{space 3}leadlowph {c |}{res}        75    .4266667    .4979236          0          1
{txt}{hline 13}{c +}{hline 56}
{space 5}leadpop {c |}{res}        75       76019           0      76019      76019
{txt}
{com}. 
. *Figure 1 Schock
. 
. *Figure 2
. sort year
{txt}
{com}. line acid1 acid2 acid3 acid4 year, xtitle("Year") ytitle("Infant Mortality Rate per 100 population ")
{res}{txt}
{com}. 
. *Table 3: Lead Pipes
. reg leadc i.ncitypop lnph lnhardness statepcpav statetempav i.nregion tyrate if year==1900 & infrate~=., robust

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 11,   160) ={res}    2.79
                                                       {txt}Prob > F      = {res} 0.0024
                                                       {txt}R-squared     = {res} 0.1349
                                                       {txt}Root MSE      = {res} .47822

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       leadc{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2209732{col 26}{space 2} .1076741{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0083274{col 67}{space 3} .4336189
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1909876{col 26}{space 2}  .109552{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0253668{col 67}{space 3} .4073419
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4100289{col 26}{space 2} .1035126{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .2056017{col 67}{space 3} .6144561
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} -.057502{col 26}{space 2} .0724219{col 37}{space 1}   -0.79{col 46}{space 3}0.428{col 54}{space 4}-.2005282{col 67}{space 3} .0855241
{txt}{space 2}lnhardness {c |}{col 14}{res}{space 2}  .034815{col 26}{space 2} .0534874{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0708173{col 67}{space 3} .1404473
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0817695{col 26}{space 2} .0508515{col 37}{space 1}    1.61{col 46}{space 3}0.110{col 54}{space 4}-.0186573{col 67}{space 3} .1821963
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.1790422{col 26}{space 2} .0559956{col 37}{space 1}   -3.20{col 46}{space 3}0.002{col 54}{space 4} -.289628{col 67}{space 3}-.0684564
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .125934{col 26}{space 2} .1222059{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1154107{col 67}{space 3} .3672787
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2146408{col 26}{space 2} .1637447{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.1087389{col 67}{space 3} .5380205
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4034706{col 26}{space 2} .1963506{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0156975{col 67}{space 3} .7912437
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2}-.0110476{col 26}{space 2} .0384861{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.0870539{col 67}{space 3} .0649587
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0937954{col 26}{space 2} .2196328{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.5275486{col 67}{space 3} .3399577
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table3, bdec(3) ctitle("Lead Only")  excel replace
{txt}{browse `"table3.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table3.txt""':seeout}

{com}. *Column 2a: In the second column leadlowph was incorrectly specified, such that the effect was to use leadc as the dependent variable
. reg leadc i.ncitypop lnhardness statepcpav statetempav i.nregion tyrate if year==1900 & infrate~=., robust

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 10,   161) ={res}    3.10
                                                       {txt}Prob > F      = {res} 0.0012
                                                       {txt}R-squared     = {res} 0.1320
                                                       {txt}Root MSE      = {res} .47752

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       leadc{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2177106{col 26}{space 2} .1060444{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0082932{col 67}{space 3}  .427128
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1793703{col 26}{space 2} .1058481{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0296594{col 67}{space 3} .3883999
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4022517{col 26}{space 2} .1020857{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4}  .200652{col 67}{space 3} .6038513
{txt}{space 12} {c |}
{space 2}lnhardness {c |}{col 14}{res}{space 2} .0194594{col 26}{space 2} .0485179{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.0763541{col 67}{space 3}  .115273
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0831598{col 26}{space 2}  .051248{col 37}{space 1}    1.62{col 46}{space 3}0.107{col 54}{space 4}-.0180452{col 67}{space 3} .1843647
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.1725814{col 26}{space 2} .0556448{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-.2824693{col 67}{space 3}-.0626936
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1110455{col 26}{space 2} .1207121{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1273377{col 67}{space 3} .3494286
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1981927{col 26}{space 2} .1624447{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.1226043{col 67}{space 3} .5189898
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3777451{col 26}{space 2} .1946127{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0065776{col 67}{space 3} .7620678
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} -.015493{col 26}{space 2} .0376219{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.0897889{col 67}{space 3}  .058803
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0252399{col 26}{space 2} .1936458{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.4076532{col 67}{space 3} .3571734
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table3, bdec(3) ctitle("Lead Only and Low pH")  excel append
{txt}{browse `"table3.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table3.txt""':seeout}

{com}. *Column 2b: This is the regression that should have been run for column 2. Nothing is statistically significant. 
. reg leadlowph i.ncitypop lnhardness statepcpav statetempav i.nregion tyrate if year==1900 & infrate~=., robust

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 10,   161) ={res}    1.92
                                                       {txt}Prob > F      = {res} 0.0461
                                                       {txt}R-squared     = {res} 0.1226
                                                       {txt}Root MSE      = {res} .37676

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   leadlowph{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  -.00359{col 26}{space 2} .0858248{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.1730775{col 67}{space 3} .1658975
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0550573{col 26}{space 2} .0857579{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4}-.2244127{col 67}{space 3} .1142981
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0182957{col 26}{space 2}  .079295{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.1748881{col 67}{space 3} .1382967
{txt}{space 12} {c |}
{space 2}lnhardness {c |}{col 14}{res}{space 2}-.0694696{col 26}{space 2} .0422568{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.1529186{col 67}{space 3} .0139794
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0090522{col 26}{space 2} .0291361{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.048486{col 67}{space 3} .0665904
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .0437548{col 26}{space 2} .0420561{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0392979{col 67}{space 3} .1268075
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1405709{col 26}{space 2} .1049631{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4} -.347853{col 67}{space 3} .0667111
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.145725{col 26}{space 2} .1205778{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4} -.383843{col 67}{space 3}  .092393
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1653121{col 26}{space 2}  .152571{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.4666106{col 67}{space 3} .1359863
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2}-.0322687{col 26}{space 2} .0227149{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4}-.0771263{col 67}{space 3} .0125889
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6259683{col 26}{space 2} .1791583{col 37}{space 1}    3.49{col 46}{space 3}0.001{col 54}{space 4}  .272165{col 67}{space 3} .9797716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table3, bdec(3) ctitle("Lead Only and Low pH")  excel append
{txt}{browse `"table3.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table3.txt""':seeout}

{com}. ologit lead i.ncitypop lnph lnhardness statepcpav statetempav i.nregion tyrate if year==1900 & infrate~=., robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-184.17199}  
Iteration 1:{space 3}log pseudolikelihood = {res: -169.4548}  
Iteration 2:{space 3}log pseudolikelihood = {res:-169.36075}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.36072}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.36072}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       172
{txt}{col 51}Wald chi2({res}11{txt}){col 67}= {res}     25.35
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0081
{txt}Log pseudolikelihood = {res}-169.36072{txt}{col 51}Pseudo R2{col 67}= {res}    0.0804

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        lead{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .7215692{col 26}{space 2} .4361464{col 37}{space 1}    1.65{col 46}{space 3}0.098{col 54}{space 4}-.1332621{col 67}{space 3}   1.5764
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6852953{col 26}{space 2} .4457062{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.1882729{col 67}{space 3} 1.558863
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  1.70623{col 26}{space 2} .4256938{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4}  .871885{col 67}{space 3} 2.540574
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2}-.3607412{col 26}{space 2} .2439898{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-.8389525{col 67}{space 3} .1174701
{txt}{space 2}lnhardness {c |}{col 14}{res}{space 2} .1647636{col 26}{space 2} .2057461{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.2384915{col 67}{space 3} .5680186
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .2492588{col 26}{space 2} .2124496{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.1671348{col 67}{space 3} .6656524
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.5579096{col 26}{space 2} .2475937{col 37}{space 1}   -2.25{col 46}{space 3}0.024{col 54}{space 4}-1.043184{col 67}{space 3}-.0726349
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.152244{col 26}{space 2} .5426345{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0886997{col 67}{space 3} 2.215788
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.394356{col 26}{space 2} .7073379{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0079992{col 67}{space 3} 2.780713
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.883217{col 26}{space 2} .8450972{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .2268571{col 67}{space 3} 3.539577
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0571426{col 26}{space 2} .1213156{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-.1806316{col 67}{space 3} .2949168
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2} 1.676313{col 26}{space 2} .8877246{col 54}{space 4}-.0635948{col 67}{space 3} 3.416222
{txt}       /cut2 {c |}{col 14}{res}{space 2} 2.843893{col 26}{space 2} .9165854{col 54}{space 4} 1.047419{col 67}{space 3} 4.640368
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using table3, bdec(3) ctitle("Lead Only")  excel append label
{txt}{browse `"table3.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table3.txt", label"':seeout}

{com}. 
. *Table 4: Infants 
. reg infrate i.lead##c.lnph i.nregion i.ncitypop if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 11,   160) ={res}    8.48
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.3045
                                                       {txt}Root MSE      = {res} .13047

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0429979{col 26}{space 2} .0348561{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0258395{col 67}{space 3} .1118354
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0742531{col 26}{space 2} .0281963{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0185682{col 67}{space 3} .1299381
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2}-.0486208{col 26}{space 2} .0328314{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4}-.1134596{col 67}{space 3} .0162181
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0286503{col 26}{space 2} .0389002{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-.1054745{col 67}{space 3} .0481738
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0754069{col 26}{space 2}  .036548{col 37}{space 1}   -2.06{col 46}{space 3}0.041{col 54}{space 4}-.1475857{col 67}{space 3}-.0032282
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0119598{col 26}{space 2} .0307388{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-.0726658{col 67}{space 3} .0487463
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0883043{col 26}{space 2} .0340822{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.1556132{col 67}{space 3}-.0209954
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0108204{col 26}{space 2}  .042506{col 37}{space 1}   -0.25{col 46}{space 3}0.799{col 54}{space 4}-.0947655{col 67}{space 3} .0731247
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0128008{col 26}{space 2} .0311922{col 37}{space 1}   -0.41{col 46}{space 3}0.682{col 54}{space 4}-.0744023{col 67}{space 3} .0488008
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0434907{col 26}{space 2} .0317203{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.0191538{col 67}{space 3} .1061353
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.003353{col 26}{space 2} .0309576{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.0644913{col 67}{space 3} .0577852
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .4002665{col 26}{space 2} .0319499{col 37}{space 1}   12.53{col 46}{space 3}0.000{col 54}{space 4} .3371685{col 67}{space 3} .4633645
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table4, bdec(3) ctitle("Inf. Mort")  excel replace 
{txt}{browse `"table4.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table4.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop fborn white momshare statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 16,   155) ={res}   17.65
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.5516
                                                       {txt}Root MSE      = {res} .10644

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0220274{col 26}{space 2} .0308311{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4} -.038876{col 67}{space 3} .0829307
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0684862{col 26}{space 2} .0253202{col 37}{space 1}    2.70{col 46}{space 3}0.008{col 54}{space 4} .0184691{col 67}{space 3} .1185033
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2}-.0150694{col 26}{space 2} .0263373{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.0670957{col 67}{space 3} .0369569
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0017188{col 26}{space 2} .0333985{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.0642562{col 67}{space 3} .0676938
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0602864{col 26}{space 2} .0273421{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.1142977{col 67}{space 3}-.0062752
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .011752{col 26}{space 2} .0319897{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}  -.05144{col 67}{space 3}  .074944
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0456972{col 26}{space 2} .0405904{col 37}{space 1}   -1.13{col 46}{space 3}0.262{col 54}{space 4}-.1258789{col 67}{space 3} .0344844
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0767186{col 26}{space 2} .0517976{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4} -.179039{col 67}{space 3} .0256018
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0308765{col 26}{space 2} .0276351{col 37}{space 1}   -1.12{col 46}{space 3}0.266{col 54}{space 4}-.0854665{col 67}{space 3} .0237135
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0273053{col 26}{space 2} .0265326{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0251069{col 67}{space 3} .0797175
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0294571{col 26}{space 2} .0280427{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.0848523{col 67}{space 3} .0259382
{txt}{space 12} {c |}
{space 7}fborn {c |}{col 14}{res}{space 2} .5380708{col 26}{space 2} .1192657{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} .3024748{col 67}{space 3} .7736668
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.7461684{col 26}{space 2} .1184468{col 37}{space 1}   -6.30{col 46}{space 3}0.000{col 54}{space 4}-.9801467{col 67}{space 3}-.5121902
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.3697729{col 26}{space 2}  .329539{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4} -1.02074{col 67}{space 3} .2811942
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0289764{col 26}{space 2} .0144093{col 37}{space 1}    2.01{col 46}{space 3}0.046{col 54}{space 4} .0005125{col 67}{space 3} .0574404
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .0037956{col 26}{space 2} .0150841{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.0260013{col 67}{space 3} .0335926
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.061544{col 26}{space 2} .1474139{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} .7703441{col 67}{space 3} 1.352743
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table4, bdec(3) ctitle("Inf. Mort")  excel append
{txt}{browse `"table4.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table4.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 18,   153) ={res}   17.81
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.5835
                                                       {txt}Root MSE      = {res} .10324

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .017538{col 26}{space 2} .0306403{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-.0429947{col 67}{space 3} .0780708
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0699739{col 26}{space 2} .0257429{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0191164{col 67}{space 3} .1208314
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} -.012844{col 26}{space 2} .0266572{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0655077{col 67}{space 3} .0398197
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0054992{col 26}{space 2} .0329252{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.0705458{col 67}{space 3} .0595475
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0620004{col 26}{space 2} .0275069{col 37}{space 1}   -2.25{col 46}{space 3}0.026{col 54}{space 4}-.1163427{col 67}{space 3}-.0076581
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .005866{col 26}{space 2} .0316304{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0566227{col 67}{space 3} .0683546
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0528764{col 26}{space 2} .0395848{col 37}{space 1}   -1.34{col 46}{space 3}0.184{col 54}{space 4}-.1310797{col 67}{space 3} .0253269
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0855734{col 26}{space 2} .0488893{col 37}{space 1}   -1.75{col 46}{space 3}0.082{col 54}{space 4}-.1821586{col 67}{space 3} .0110119
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0319715{col 26}{space 2} .0267332{col 37}{space 1}   -1.20{col 46}{space 3}0.234{col 54}{space 4}-.0847854{col 67}{space 3} .0208424
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0218552{col 26}{space 2} .0254773{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0284775{col 67}{space 3} .0721879
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0320331{col 26}{space 2} .0276863{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.0867299{col 67}{space 3} .0226637
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0281195{col 26}{space 2} .0084389{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0114476{col 67}{space 3} .0447914
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0150785{col 26}{space 2} .0097433{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0041704{col 67}{space 3} .0343273
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5423688{col 26}{space 2} .1143864{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .3163882{col 67}{space 3} .7683493
{txt}{space 7}white {c |}{col 14}{res}{space 2} -.651908{col 26}{space 2} .1123602{col 37}{space 1}   -5.80{col 46}{space 3}0.000{col 54}{space 4}-.8738857{col 67}{space 3}-.4299304
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.3630506{col 26}{space 2} .3069205{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-.9693997{col 67}{space 3} .2432985
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0285206{col 26}{space 2} .0142679{col 37}{space 1}    2.00{col 46}{space 3}0.047{col 54}{space 4} .0003332{col 67}{space 3} .0567081
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}  .006651{col 26}{space 2} .0147874{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4}-.0225628{col 67}{space 3} .0358648
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .958789{col 26}{space 2} .1415954{col 37}{space 1}    6.77{col 46}{space 3}0.000{col 54}{space 4} .6790546{col 67}{space 3} 1.238523
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table4, bdec(3) ctitle("Inf. Mort")  excel append
{txt}{browse `"table4.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table4.txt""':seeout}

{com}. char lead1[omit] 1
{txt}
{com}. reg infrate i.lead1##c.ph1 i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 24,   147) ={res}   11.84
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6021
                                                       {txt}Root MSE      = {res} .10295

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}lead1 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0193795{col 26}{space 2} .0456654{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4} -.070866{col 67}{space 3} .1096249
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0629736{col 26}{space 2} .0341215{col 37}{space 1}    1.85{col 46}{space 3}0.067{col 54}{space 4}-.0044584{col 67}{space 3} .1304057
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0085593{col 26}{space 2} .0787655{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-.1470997{col 67}{space 3} .1642183
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.078167{col 26}{space 2} .0898149{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.2556622{col 67}{space 3} .0993282
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0312519{col 26}{space 2} .0537746{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.1375231{col 67}{space 3} .0750193
{txt}{space 12} {c |}
{space 9}ph1 {c |}{col 14}{res}{space 2}  .058471{col 26}{space 2} .0696461{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4} -.079166{col 67}{space 3}  .196108
{txt}{space 12} {c |}
{space 1}lead1#c.ph1 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0727169{col 26}{space 2} .1041747{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-.2785904{col 67}{space 3} .1331567
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2698892{col 26}{space 2} .0941854{col 37}{space 1}   -2.87{col 46}{space 3}0.005{col 54}{space 4}-.4560215{col 67}{space 3} -.083757
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1050356{col 26}{space 2} .0962961{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.2953391{col 67}{space 3}  .085268
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.025907{col 26}{space 2} .1034046{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.2302586{col 67}{space 3} .1784446
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0290806{col 26}{space 2} .0803489{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-.1878687{col 67}{space 3} .1297076
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0249681{col 26}{space 2} .0355849{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0453561{col 67}{space 3} .0952922
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0367408{col 26}{space 2} .0449007{col 37}{space 1}   -0.82{col 46}{space 3}0.415{col 54}{space 4}-.1254752{col 67}{space 3} .0519935
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0635178{col 26}{space 2}  .055051{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.1723115{col 67}{space 3} .0452759
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0433374{col 26}{space 2} .0267541{col 37}{space 1}   -1.62{col 46}{space 3}0.107{col 54}{space 4}-.0962097{col 67}{space 3} .0095349
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0102503{col 26}{space 2} .0249765{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.0391091{col 67}{space 3} .0596098
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0517263{col 26}{space 2} .0297964{col 37}{space 1}   -1.74{col 46}{space 3}0.085{col 54}{space 4}-.1106109{col 67}{space 3} .0071582
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2}  .030262{col 26}{space 2} .0081232{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0142087{col 67}{space 3} .0463153
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0123265{col 26}{space 2}  .009317{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4} -.006086{col 67}{space 3} .0307391
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5134179{col 26}{space 2} .1239937{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4} .2683774{col 67}{space 3} .7584584
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.6109061{col 26}{space 2} .1071536{col 37}{space 1}   -5.70{col 46}{space 3}0.000{col 54}{space 4}-.8226666{col 67}{space 3}-.3991457
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.3706116{col 26}{space 2} .3041358{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.9716549{col 67}{space 3} .2304317
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0287607{col 26}{space 2} .0142772{col 37}{space 1}    2.01{col 46}{space 3}0.046{col 54}{space 4} .0005456{col 67}{space 3} .0569757
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}  .009966{col 26}{space 2}   .01622{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0220885{col 67}{space 3} .0420204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9442464{col 26}{space 2} .1272929{col 37}{space 1}    7.42{col 46}{space 3}0.000{col 54}{space 4} .6926859{col 67}{space 3} 1.195807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table4, bdec(3) ctitle("Inf. Mort")  excel append label
{txt}{browse `"table4.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table4.txt", label"':seeout}

{com}. 
. *Table 5 with hardness
. reg infrate lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900 & lead==3 , robust 

{txt}Linear regression                                      Number of obs ={res}      75
                                                       {txt}F( 14,    60) ={res}   21.94
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6652
                                                       {txt}Root MSE      = {res} .09892

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lnph {c |}{col 14}{res}{space 2}-.0701206{col 26}{space 2} .0180453{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.1062167{col 67}{space 3}-.0340246
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0208893{col 26}{space 2} .0581126{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.1371319{col 67}{space 3} .0953532
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0792075{col 26}{space 2} .0701014{col 37}{space 1}   -1.13{col 46}{space 3}0.263{col 54}{space 4}-.2194312{col 67}{space 3} .0610161
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.125321{col 26}{space 2} .0651287{col 37}{space 1}   -1.92{col 46}{space 3}0.059{col 54}{space 4}-.2555977{col 67}{space 3} .0049557
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0192535{col 26}{space 2} .0598926{col 37}{space 1}   -0.32{col 46}{space 3}0.749{col 54}{space 4}-.1390566{col 67}{space 3} .1005496
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0329886{col 26}{space 2} .0571586{col 37}{space 1}    0.58{col 46}{space 3}0.566{col 54}{space 4}-.0813456{col 67}{space 3} .1473229
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0198741{col 26}{space 2} .0530258{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.1259415{col 67}{space 3} .0861932
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0224288{col 26}{space 2} .0141562{col 37}{space 1}    1.58{col 46}{space 3}0.118{col 54}{space 4}-.0058879{col 67}{space 3} .0507455
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0086056{col 26}{space 2}  .024136{col 37}{space 1}    0.36{col 46}{space 3}0.723{col 54}{space 4}-.0396736{col 67}{space 3} .0568847
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .7201427{col 26}{space 2}  .217845{col 37}{space 1}    3.31{col 46}{space 3}0.002{col 54}{space 4} .2843878{col 67}{space 3} 1.155897
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.8296841{col 26}{space 2} .2193964{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-1.268542{col 67}{space 3} -.390826
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.4713261{col 26}{space 2} .6722513{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-1.816029{col 67}{space 3} .8733766
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2}-.0137489{col 26}{space 2} .0123847{col 37}{space 1}   -1.11{col 46}{space 3}0.271{col 54}{space 4}-.0385221{col 67}{space 3} .0110243
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .0492874{col 26}{space 2} .0196277{col 37}{space 1}    2.51{col 46}{space 3}0.015{col 54}{space 4} .0100263{col 67}{space 3} .0885486
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.202668{col 26}{space 2} .2704248{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .6617379{col 67}{space 3} 1.743598
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table5, bdec(3) ctitle("Inf. Mort")  excel replace
{txt}{browse `"table5.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table5.txt""':seeout}

{com}. reg infrate lnph lnhardness i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900 & lead==3 , robust 

{txt}Linear regression                                      Number of obs ={res}      75
                                                       {txt}F( 15,    59) ={res}   21.15
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6730
                                                       {txt}Root MSE      = {res} .09858

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lnph {c |}{col 14}{res}{space 2} -.053123{col 26}{space 2} .0195744{col 37}{space 1}   -2.71{col 46}{space 3}0.009{col 54}{space 4}-.0922913{col 67}{space 3}-.0139546
{txt}{space 2}lnhardness {c |}{col 14}{res}{space 2}-.0240742{col 26}{space 2} .0196849{col 37}{space 1}   -1.22{col 46}{space 3}0.226{col 54}{space 4}-.0634635{col 67}{space 3} .0153151
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.018104{col 26}{space 2} .0591678{col 37}{space 1}   -0.31{col 46}{space 3}0.761{col 54}{space 4}-.1364985{col 67}{space 3} .1002904
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0634744{col 26}{space 2}  .074368{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.2122845{col 67}{space 3} .0853357
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.111211{col 26}{space 2} .0689558{col 37}{space 1}   -1.61{col 46}{space 3}0.112{col 54}{space 4}-.2491911{col 67}{space 3} .0267692
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0097281{col 26}{space 2}  .061652{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1330934{col 67}{space 3} .1136373
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0318553{col 26}{space 2} .0578243{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.0838508{col 67}{space 3} .1475613
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0151099{col 26}{space 2} .0543868{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-.1239377{col 67}{space 3} .0937178
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0223549{col 26}{space 2}  .014056{col 37}{space 1}    1.59{col 46}{space 3}0.117{col 54}{space 4}-.0057711{col 67}{space 3} .0504809
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0107565{col 26}{space 2} .0243506{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4} -.037969{col 67}{space 3}  .059482
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .6414409{col 26}{space 2} .2260495{col 37}{space 1}    2.84{col 46}{space 3}0.006{col 54}{space 4} .1891169{col 67}{space 3} 1.093765
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.7300323{col 26}{space 2} .2486561{col 37}{space 1}   -2.94{col 46}{space 3}0.005{col 54}{space 4}-1.227592{col 67}{space 3}-.2324726
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.4674464{col 26}{space 2} .6664659{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-1.801042{col 67}{space 3} .8661489
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2}-.0166284{col 26}{space 2} .0113854{col 37}{space 1}   -1.46{col 46}{space 3}0.149{col 54}{space 4}-.0394106{col 67}{space 3} .0061537
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .0492441{col 26}{space 2} .0194416{col 37}{space 1}    2.53{col 46}{space 3}0.014{col 54}{space 4} .0103416{col 67}{space 3} .0881466
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.211031{col 26}{space 2} .2646734{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .6814208{col 67}{space 3} 1.740641
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table5, bdec(3) ctitle("Inf. Mort")  excel append
{txt}{browse `"table5.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table5.txt""':seeout}

{com}. char lead1[omit] 3
{txt}
{com}. reg infrate i.lead1##c.ph1 i.lead1#c.hardness i.lead1#c.phharda  i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900 & lead==3, robust 

{txt}Linear regression                                      Number of obs ={res}      75
                                                       {txt}F( 20,    54) ={res}   17.02
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6973
                                                       {txt}Root MSE      = {res} .09914

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        infrate{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}6.lead1 {c |}{col 17}{res}{space 2} -.056446{col 29}{space 2} .1011001{col 40}{space 1}   -0.56{col 49}{space 3}0.579{col 57}{space 4}-.2591396{col 70}{space 3} .1462476
{txt}{space 12}ph1 {c |}{col 17}{res}{space 2}-.2706171{col 29}{space 2} .0770097{col 40}{space 1}   -3.51{col 49}{space 3}0.001{col 57}{space 4}-.4250123{col 70}{space 3}-.1162219
{txt}{space 15} {c |}
{space 4}lead1#c.ph1 {c |}
{space 13}6  {c |}{col 17}{res}{space 2} .2561974{col 29}{space 2}  .116533{col 40}{space 1}    2.20{col 49}{space 3}0.032{col 57}{space 4} .0225629{col 70}{space 3} .4898319
{txt}{space 15} {c |}
{space 10}lead1#{c |}
{space 5}c.hardness {c |}
{space 13}3  {c |}{col 17}{res}{space 2}-.0009696{col 29}{space 2} .0004994{col 40}{space 1}   -1.94{col 49}{space 3}0.057{col 57}{space 4}-.0019708{col 70}{space 3} .0000316
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.0002945{col 29}{space 2} .0005284{col 40}{space 1}   -0.56{col 49}{space 3}0.580{col 57}{space 4} -.001354{col 70}{space 3}  .000765
{txt}{space 15} {c |}
lead1#c.phharda {c |}
{space 13}3  {c |}{col 17}{res}{space 2} .0018318{col 29}{space 2} .0010943{col 40}{space 1}    1.67{col 49}{space 3}0.100{col 57}{space 4}-.0003622{col 70}{space 3} .0040258
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.0000156{col 29}{space 2} .0004865{col 40}{space 1}   -0.03{col 49}{space 3}0.975{col 57}{space 4}-.0009909{col 70}{space 3} .0009597
{txt}{space 15} {c |}
{space 8}nregion {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .0165452{col 29}{space 2} .0588945{col 40}{space 1}    0.28{col 49}{space 3}0.780{col 57}{space 4}-.1015312{col 70}{space 3} .1346216
{txt}{space 13}3  {c |}{col 17}{res}{space 2} -.015877{col 29}{space 2} .0776103{col 40}{space 1}   -0.20{col 49}{space 3}0.839{col 57}{space 4}-.1714762{col 70}{space 3} .1397222
{txt}{space 13}4  {c |}{col 17}{res}{space 2} -.075099{col 29}{space 2} .0763008{col 40}{space 1}   -0.98{col 49}{space 3}0.329{col 57}{space 4} -.228073{col 70}{space 3} .0778749
{txt}{space 15} {c |}
{space 7}ncitypop {c |}
{space 13}2  {c |}{col 17}{res}{space 2}-.0521167{col 29}{space 2} .0617182{col 40}{space 1}   -0.84{col 49}{space 3}0.402{col 57}{space 4}-.1758543{col 70}{space 3} .0716209
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.0136159{col 29}{space 2} .0639684{col 40}{space 1}   -0.21{col 49}{space 3}0.832{col 57}{space 4}-.1418648{col 70}{space 3} .1146331
{txt}{space 13}4  {c |}{col 17}{res}{space 2} -.061086{col 29}{space 2}  .060689{col 40}{space 1}   -1.01{col 49}{space 3}0.319{col 57}{space 4}-.1827602{col 70}{space 3} .0605882
{txt}{space 15} {c |}
{space 9}tyrate {c |}{col 17}{res}{space 2} .0162316{col 29}{space 2} .0154144{col 40}{space 1}    1.05{col 49}{space 3}0.297{col 57}{space 4}-.0146724{col 70}{space 3} .0471355
{txt}{space 6}nptubrate {c |}{col 17}{res}{space 2} .0078191{col 29}{space 2}  .025772{col 40}{space 1}    0.30{col 49}{space 3}0.763{col 57}{space 4}-.0438506{col 70}{space 3} .0594889
{txt}{space 10}fborn {c |}{col 17}{res}{space 2} .5771678{col 29}{space 2} .2854652{col 40}{space 1}    2.02{col 49}{space 3}0.048{col 57}{space 4} .0048446{col 70}{space 3} 1.149491
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.7542763{col 29}{space 2}  .252305{col 40}{space 1}   -2.99{col 49}{space 3}0.004{col 57}{space 4}-1.260117{col 70}{space 3}-.2484352
{txt}{space 7}momshare {c |}{col 17}{res}{space 2}-.4968701{col 29}{space 2} .6672308{col 40}{space 1}   -0.74{col 49}{space 3}0.460{col 57}{space 4}-1.834587{col 70}{space 3} .8408471
{txt}{space 5}statepcpav {c |}{col 17}{res}{space 2}-.0197196{col 29}{space 2} .0129111{col 40}{space 1}   -1.53{col 49}{space 3}0.133{col 57}{space 4}-.0456048{col 70}{space 3} .0061656
{txt}{space 4}statetempav {c |}{col 17}{res}{space 2} .0534785{col 29}{space 2} .0200396{col 40}{space 1}    2.67{col 49}{space 3}0.010{col 57}{space 4} .0133016{col 70}{space 3} .0936555
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}    1.229{col 29}{space 2} .2474467{col 40}{space 1}    4.97{col 49}{space 3}0.000{col 57}{space 4} .7328991{col 70}{space 3}   1.7251
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table5, bdec(4) ctitle("Inf. Mort")  excel append label
{txt}{browse `"table5.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table5.txt", label"':seeout}

{com}. 
. *Table 6: All the years
. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 18,   153) ={res}   17.81
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.5835
                                                       {txt}Root MSE      = {res} .10324

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .017538{col 26}{space 2} .0306403{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-.0429947{col 67}{space 3} .0780708
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0699739{col 26}{space 2} .0257429{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0191164{col 67}{space 3} .1208314
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} -.012844{col 26}{space 2} .0266572{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0655077{col 67}{space 3} .0398197
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0054992{col 26}{space 2} .0329252{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.0705458{col 67}{space 3} .0595475
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0620004{col 26}{space 2} .0275069{col 37}{space 1}   -2.25{col 46}{space 3}0.026{col 54}{space 4}-.1163427{col 67}{space 3}-.0076581
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .005866{col 26}{space 2} .0316304{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0566227{col 67}{space 3} .0683546
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0528764{col 26}{space 2} .0395848{col 37}{space 1}   -1.34{col 46}{space 3}0.184{col 54}{space 4}-.1310797{col 67}{space 3} .0253269
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0855734{col 26}{space 2} .0488893{col 37}{space 1}   -1.75{col 46}{space 3}0.082{col 54}{space 4}-.1821586{col 67}{space 3} .0110119
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0319715{col 26}{space 2} .0267332{col 37}{space 1}   -1.20{col 46}{space 3}0.234{col 54}{space 4}-.0847854{col 67}{space 3} .0208424
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0218552{col 26}{space 2} .0254773{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0284775{col 67}{space 3} .0721879
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0320331{col 26}{space 2} .0276863{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.0867299{col 67}{space 3} .0226637
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0281195{col 26}{space 2} .0084389{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0114476{col 67}{space 3} .0447914
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0150785{col 26}{space 2} .0097433{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0041704{col 67}{space 3} .0343273
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5423688{col 26}{space 2} .1143864{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .3163882{col 67}{space 3} .7683493
{txt}{space 7}white {c |}{col 14}{res}{space 2} -.651908{col 26}{space 2} .1123602{col 37}{space 1}   -5.80{col 46}{space 3}0.000{col 54}{space 4}-.8738857{col 67}{space 3}-.4299304
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.3630506{col 26}{space 2} .3069205{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-.9693997{col 67}{space 3} .2432985
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0285206{col 26}{space 2} .0142679{col 37}{space 1}    2.00{col 46}{space 3}0.047{col 54}{space 4} .0003332{col 67}{space 3} .0567081
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}  .006651{col 26}{space 2} .0147874{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4}-.0225628{col 67}{space 3} .0358648
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .958789{col 26}{space 2} .1415954{col 37}{space 1}    6.77{col 46}{space 3}0.000{col 54}{space 4} .6790546{col 67}{space 3} 1.238523
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table6, bdec(3) ctitle("Inf. Mort 1900")  excel replace
{txt}{browse `"table6.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table6.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1905, robust 

{txt}Linear regression                                      Number of obs ={res}     175
                                                       {txt}F( 18,   156) ={res}   16.11
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.5285
                                                       {txt}Root MSE      = {res} .08788

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0399805{col 26}{space 2} .0250632{col 37}{space 1}    1.60{col 46}{space 3}0.113{col 54}{space 4}-.0095265{col 67}{space 3} .0894875
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0672812{col 26}{space 2} .0199694{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0278358{col 67}{space 3} .1067265
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} .0125252{col 26}{space 2} .0315677{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}-.0498301{col 67}{space 3} .0748804
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0096539{col 26}{space 2} .0362215{col 37}{space 1}   -0.27{col 46}{space 3}0.790{col 54}{space 4}-.0812017{col 67}{space 3} .0618939
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0806575{col 26}{space 2} .0304583{col 37}{space 1}   -2.65{col 46}{space 3}0.009{col 54}{space 4}-.1408213{col 67}{space 3}-.0204936
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0098037{col 26}{space 2} .0274656{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0444488{col 67}{space 3} .0640562
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.024464{col 26}{space 2} .0366164{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4}-.0967919{col 67}{space 3} .0478638
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.047808{col 26}{space 2} .0493864{col 37}{space 1}   -0.97{col 46}{space 3}0.335{col 54}{space 4}-.1453604{col 67}{space 3} .0497444
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0015607{col 26}{space 2} .0256181{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4}-.0521638{col 67}{space 3} .0490425
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0178639{col 26}{space 2}  .023782{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.0291125{col 67}{space 3} .0648403
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0042398{col 26}{space 2} .0242887{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4} -.052217{col 67}{space 3} .0437373
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0133092{col 26}{space 2} .0043414{col 37}{space 1}    3.07{col 46}{space 3}0.003{col 54}{space 4} .0047337{col 67}{space 3} .0218847
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2}-.0073707{col 26}{space 2} .0053056{col 37}{space 1}   -1.39{col 46}{space 3}0.167{col 54}{space 4}-.0178507{col 67}{space 3} .0031093
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5488782{col 26}{space 2} .0904587{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .3701964{col 67}{space 3} .7275601
{txt}{space 7}white {c |}{col 14}{res}{space 2} -.551581{col 26}{space 2} .1302331{col 37}{space 1}   -4.24{col 46}{space 3}0.000{col 54}{space 4}-.8088289{col 67}{space 3}-.2943331
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.0586963{col 26}{space 2} .4679758{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4} -.983083{col 67}{space 3} .8656904
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0238406{col 26}{space 2} .0140618{col 37}{space 1}    1.70{col 46}{space 3}0.092{col 54}{space 4}-.0039355{col 67}{space 3} .0516167
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .0026775{col 26}{space 2} .0145834{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4} -.026129{col 67}{space 3}  .031484
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7090682{col 26}{space 2} .1881006{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .3375154{col 67}{space 3} 1.080621
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table6, bdec(3) ctitle("Inf. Mort 1905")  excel append
{txt}{browse `"table6.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table6.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1910, robust 

{txt}Linear regression                                      Number of obs ={res}     214
                                                       {txt}F( 18,   195) ={res}   14.10
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.4680
                                                       {txt}Root MSE      = {res} .09928

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0281097{col 26}{space 2} .0265439{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0242402{col 67}{space 3} .0804596
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0472998{col 26}{space 2} .0233845{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0011809{col 67}{space 3} .0934187
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2}-.0075143{col 26}{space 2} .0320625{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-.0707481{col 67}{space 3} .0557195
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0459553{col 26}{space 2} .0400396{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.1249215{col 67}{space 3}  .033011
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0635954{col 26}{space 2} .0338718{col 37}{space 1}   -1.88{col 46}{space 3}0.062{col 54}{space 4}-.1303975{col 67}{space 3} .0032066
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0350293{col 26}{space 2} .0296048{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.0233573{col 67}{space 3}  .093416
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0137506{col 26}{space 2} .0358853{col 37}{space 1}    0.38{col 46}{space 3}0.702{col 54}{space 4}-.0570225{col 67}{space 3} .0845238
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0023413{col 26}{space 2} .0508042{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-.1025375{col 67}{space 3}  .097855
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.014038{col 26}{space 2} .0238875{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0611491{col 67}{space 3} .0330731
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.004995{col 26}{space 2} .0224944{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.0493586{col 67}{space 3} .0393686
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.007642{col 26}{space 2} .0250633{col 37}{space 1}   -0.30{col 46}{space 3}0.761{col 54}{space 4} -.057072{col 67}{space 3}  .041788
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0362806{col 26}{space 2} .0101951{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .0161738{col 67}{space 3} .0563873
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0182043{col 26}{space 2} .0088582{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0007341{col 67}{space 3} .0356746
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5256769{col 26}{space 2} .1042602{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .3200544{col 67}{space 3} .7312993
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.3601811{col 26}{space 2} .1246414{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.6059994{col 67}{space 3}-.1143627
{txt}{space 4}momshare {c |}{col 14}{res}{space 2} .2551938{col 26}{space 2} .2954165{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.3274278{col 67}{space 3} .8378155
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0311114{col 26}{space 2} .0109466{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0095224{col 67}{space 3} .0527004
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.0187807{col 26}{space 2} .0127135{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4}-.0438543{col 67}{space 3} .0062929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4806836{col 26}{space 2} .1537359{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .1774851{col 67}{space 3} .7838821
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table6, bdec(3) ctitle("Inf. Mort 1910")  excel append
{txt}{browse `"table6.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table6.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1915, robust 

{txt}Linear regression                                      Number of obs ={res}     200
                                                       {txt}F( 18,   181) ={res}   11.95
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.5183
                                                       {txt}Root MSE      = {res} .07409

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .041307{col 26}{space 2} .0199682{col 37}{space 1}    2.07{col 46}{space 3}0.040{col 54}{space 4} .0019067{col 67}{space 3} .0807073
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0465341{col 26}{space 2} .0179365{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0111425{col 67}{space 3} .0819256
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} .0214031{col 26}{space 2} .0253869{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0286893{col 67}{space 3} .0714955
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0483471{col 26}{space 2} .0298999{col 37}{space 1}   -1.62{col 46}{space 3}0.108{col 54}{space 4}-.1073443{col 67}{space 3} .0106501
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0504622{col 26}{space 2} .0291404{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.1079607{col 67}{space 3} .0070363
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .018418{col 26}{space 2} .0213863{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0237805{col 67}{space 3} .0606165
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0066005{col 26}{space 2}  .028447{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-.0627308{col 67}{space 3} .0495298
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0241753{col 26}{space 2} .0349113{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0930608{col 67}{space 3} .0447101
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0637839{col 26}{space 2} .0451055{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0252162{col 67}{space 3} .1527841
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .044004{col 26}{space 2} .0451275{col 37}{space 1}    0.98{col 46}{space 3}0.331{col 54}{space 4}-.0450397{col 67}{space 3} .1330477
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .046217{col 26}{space 2} .0458212{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4}-.0441954{col 67}{space 3} .1366294
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0728529{col 26}{space 2} .0121304{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .0489176{col 67}{space 3} .0967881
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0112362{col 26}{space 2} .0118971{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-.0122388{col 67}{space 3} .0347111
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .5142668{col 26}{space 2}  .108803{col 37}{space 1}    4.73{col 46}{space 3}0.000{col 54}{space 4} .2995814{col 67}{space 3} .7289522
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.2709678{col 26}{space 2} .0978509{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.4640429{col 67}{space 3}-.0778927
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.2720659{col 26}{space 2} .3643386{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.9909632{col 67}{space 3} .4468313
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0182193{col 26}{space 2} .0084258{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0015939{col 67}{space 3} .0348447
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.0096271{col 26}{space 2} .0094498{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.0282731{col 67}{space 3} .0090188
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4027312{col 26}{space 2} .1543492{col 37}{space 1}    2.61{col 46}{space 3}0.010{col 54}{space 4}  .098176{col 67}{space 3} .7072863
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table6, bdec(3) ctitle("Inf. Mort 1915")  excel append
{txt}{browse `"table6.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table6.txt""':seeout}

{com}. reg infrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav if year==1920, robust 

{txt}Linear regression                                      Number of obs ={res}     211
                                                       {txt}F( 17,   193) ={res}    6.86
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.3674
                                                       {txt}Root MSE      = {res} .06075

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     infrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0255751{col 26}{space 2} .0151409{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0042879{col 67}{space 3}  .055438
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0167501{col 26}{space 2} .0128609{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0086158{col 67}{space 3} .0421161
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} .0335961{col 26}{space 2} .0174457{col 37}{space 1}    1.93{col 46}{space 3}0.056{col 54}{space 4}-.0008127{col 67}{space 3} .0680048
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.062529{col 26}{space 2}  .019952{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.1018809{col 67}{space 3} -.023177
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0496495{col 26}{space 2}  .021303{col 37}{space 1}   -2.33{col 46}{space 3}0.021{col 54}{space 4} -.091666{col 67}{space 3} -.007633
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0114466{col 26}{space 2} .0167205{col 37}{space 1}    0.68{col 46}{space 3}0.494{col 54}{space 4}-.0215318{col 67}{space 3} .0444249
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0235442{col 26}{space 2} .0211076{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.0180871{col 67}{space 3} .0651755
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0046901{col 26}{space 2} .0274018{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.0493553{col 67}{space 3} .0587356
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0108995{col 26}{space 2} .0120863{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0129387{col 67}{space 3} .0347378
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0199988{col 26}{space 2} .0116649{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4}-.0030083{col 67}{space 3} .0430059
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0800954{col 26}{space 2} .0221456{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4}  .036417{col 67}{space 3} .1237739
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0159569{col 26}{space 2} .0116376{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.0069963{col 67}{space 3} .0389101
{txt}{space 7}fborn {c |}{col 14}{res}{space 2} .2458754{col 26}{space 2} .0769567{col 37}{space 1}    3.19{col 46}{space 3}0.002{col 54}{space 4} .0940912{col 67}{space 3} .3976596
{txt}{space 7}white {c |}{col 14}{res}{space 2}-.3228399{col 26}{space 2} .0740375{col 37}{space 1}   -4.36{col 46}{space 3}0.000{col 54}{space 4}-.4688665{col 67}{space 3}-.1768133
{txt}{space 4}momshare {c |}{col 14}{res}{space 2}-.2306882{col 26}{space 2} .2000981{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4} -.625348{col 67}{space 3} .1639716
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0178904{col 26}{space 2} .0053036{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4}   .00743{col 67}{space 3} .0283508
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2}-.0238796{col 26}{space 2}  .006803{col 37}{space 1}   -3.51{col 46}{space 3}0.001{col 54}{space 4}-.0372973{col 67}{space 3}-.0104618
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5462457{col 26}{space 2} .0870879{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .3744794{col 67}{space 3} .7180119
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table6, bdec(3) ctitle("Inf. Mort 1920")  excel append label
{txt}{browse `"table6.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table6.txt", label"':seeout}

{com}. 
. *Table 7: Non-infant (the variable is titled adult rate, but is actually non-infant mortality.)
. replace popsixty = 0 if popsixty==.
{txt}(4 real changes made)

{com}. reg adultrate i.lead##c.lnph i.nregion i.ncitypop if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 11,   160) ={res}    3.93
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.2207
                                                       {txt}Root MSE      = {res} .30272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   adultrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0785222{col 26}{space 2} .0740793{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0677772{col 67}{space 3} .2248216
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0064478{col 26}{space 2} .0590601{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.1101902{col 67}{space 3} .1230857
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2}-.0495922{col 26}{space 2} .0703376{col 37}{space 1}   -0.71{col 46}{space 3}0.482{col 54}{space 4}-.1885021{col 67}{space 3} .0893178
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}   .10151{col 26}{space 2} .0925762{col 37}{space 1}    1.10{col 46}{space 3}0.275{col 54}{space 4}-.0813189{col 67}{space 3} .2843389
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0223168{col 26}{space 2} .0853257{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-.1908266{col 67}{space 3} .1461931
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0030583{col 26}{space 2} .0583565{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.1183067{col 67}{space 3} .1121901
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1588878{col 26}{space 2} .0676876{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}-.2925641{col 67}{space 3}-.0252115
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2715044{col 26}{space 2} .0984943{col 37}{space 1}    2.76{col 46}{space 3}0.007{col 54}{space 4} .0769879{col 67}{space 3} .4660209
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0823654{col 26}{space 2} .0687009{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.2180428{col 67}{space 3} .0533121
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.025077{col 26}{space 2} .0722379{col 37}{space 1}   -0.35{col 46}{space 3}0.729{col 54}{space 4}-.1677397{col 67}{space 3} .1175857
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0776963{col 26}{space 2} .0726696{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.2212117{col 67}{space 3} .0658191
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.449549{col 26}{space 2} .0643438{col 37}{space 1}   22.53{col 46}{space 3}0.000{col 54}{space 4} 1.322477{col 67}{space 3} 1.576622
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table7, bdec(3) ctitle("Non-Inf. Mort")  excel replace
{txt}{browse `"table7.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table7.txt""':seeout}

{com}. reg adultrate i.lead##c.lnph i.nregion i.ncitypop tyrate nptubrate fborn white age popfive popsixty statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 20,   151) ={res}   17.19
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6649
                                                       {txt}Root MSE      = {res} .20432

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   adultrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lead {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0758265{col 26}{space 2} .0563469{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0355037{col 67}{space 3} .1871566
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0893467{col 26}{space 2} .0482649{col 37}{space 1}    1.85{col 46}{space 3}0.066{col 54}{space 4}-.0060151{col 67}{space 3} .1847085
{txt}{space 12} {c |}
{space 8}lnph {c |}{col 14}{res}{space 2} .0470983{col 26}{space 2} .0545418{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.0606654{col 67}{space 3} .1548619
{txt}{space 12} {c |}
{space 1}lead#c.lnph {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0210829{col 26}{space 2} .0720414{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-.1634223{col 67}{space 3} .1212565
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0271036{col 26}{space 2}  .058906{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}  -.14349{col 67}{space 3} .0892828
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1228256{col 26}{space 2} .0660554{col 37}{space 1}   -1.86{col 46}{space 3}0.065{col 54}{space 4}-.2533379{col 67}{space 3} .0076866
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2782463{col 26}{space 2} .0820432{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.4403472{col 67}{space 3}-.1161454
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2813487{col 26}{space 2} .1058258{col 37}{space 1}   -2.66{col 46}{space 3}0.009{col 54}{space 4}-.4904391{col 67}{space 3}-.0722583
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0947651{col 26}{space 2} .0521094{col 37}{space 1}   -1.82{col 46}{space 3}0.071{col 54}{space 4}-.1977227{col 67}{space 3} .0081925
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0541554{col 26}{space 2} .0496201{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.1521947{col 67}{space 3} .0438839
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1100238{col 26}{space 2} .0541657{col 37}{space 1}   -2.03{col 46}{space 3}0.044{col 54}{space 4}-.2170444{col 67}{space 3}-.0030032
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0755612{col 26}{space 2} .0212669{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .0335421{col 67}{space 3} .1175804
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2}   .01205{col 26}{space 2} .0200211{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.0275076{col 67}{space 3} .0516077
{txt}{space 7}fborn {c |}{col 14}{res}{space 2}-.0973138{col 26}{space 2} .2795259{col 37}{space 1}   -0.35{col 46}{space 3}0.728{col 54}{space 4}-.6496007{col 67}{space 3} .4549732
{txt}{space 7}white {c |}{col 14}{res}{space 2}-1.419062{col 26}{space 2} .2256604{col 37}{space 1}   -6.29{col 46}{space 3}0.000{col 54}{space 4}-1.864921{col 67}{space 3}-.9732022
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0352974{col 26}{space 2} .0097915{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .0159514{col 67}{space 3} .0546433
{txt}{space 5}popfive {c |}{col 14}{res}{space 2} -.000263{col 26}{space 2} .0001562{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0005717{col 67}{space 3} .0000457
{txt}{space 4}popsixty {c |}{col 14}{res}{space 2}  .000917{col 26}{space 2} .0003612{col 37}{space 1}    2.54{col 46}{space 3}0.012{col 54}{space 4} .0002033{col 67}{space 3} .0016307
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0109679{col 26}{space 2} .0338593{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.0559311{col 67}{space 3}  .077867
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .1046335{col 26}{space 2} .0337205{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .0380085{col 67}{space 3} .1712585
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.909967{col 26}{space 2} .3521447{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} 1.214199{col 67}{space 3} 2.605734
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table7, bdec(3) ctitle("Non-Inf. Mort")  excel append
{txt}{browse `"table7.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table7.txt""':seeout}

{com}. reg adultrate i.lead1##c.ph1 i.nregion i.ncitypop tyrate nptubrate fborn white age popfive popsixty statepcpav statetempav if year==1900, robust 

{txt}Linear regression                                      Number of obs ={res}     172
                                                       {txt}F( 26,   145) ={res}   14.62
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.6705
                                                       {txt}Root MSE      = {res} .20676

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   adultrate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}lead1 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0839733{col 26}{space 2}  .074343{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.0629627{col 67}{space 3} .2309093
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0746449{col 26}{space 2} .0595551{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0430634{col 67}{space 3} .1923532
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0312258{col 26}{space 2} .1454474{col 37}{space 1}   -0.21{col 46}{space 3}0.830{col 54}{space 4}-.3186967{col 67}{space 3}  .256245
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3190959{col 26}{space 2} .2194059{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4} -.114551{col 67}{space 3} .7527428
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1205954{col 26}{space 2} .1031409{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.0832584{col 67}{space 3} .3244492
{txt}{space 12} {c |}
{space 9}ph1 {c |}{col 14}{res}{space 2} .1013958{col 26}{space 2} .1077075{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.1114838{col 67}{space 3} .3142753
{txt}{space 12} {c |}
{space 1}lead1#c.ph1 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.001398{col 26}{space 2} .2031852{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.4029855{col 67}{space 3} .4001894
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0265195{col 26}{space 2} .1467447{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.3165544{col 67}{space 3} .2635155
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.047562{col 26}{space 2} .1635647{col 37}{space 1}   -0.29{col 46}{space 3}0.772{col 54}{space 4} -.370841{col 67}{space 3} .2757169
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3233768{col 26}{space 2} .2115665{col 37}{space 1}   -1.53{col 46}{space 3}0.129{col 54}{space 4}-.7415294{col 67}{space 3} .0947757
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1085498{col 26}{space 2} .1356083{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.3765742{col 67}{space 3} .1594745
{txt}{space 12} {c |}
{space 5}nregion {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1447571{col 26}{space 2} .0652771{col 37}{space 1}   -2.22{col 46}{space 3}0.028{col 54}{space 4}-.2737746{col 67}{space 3}-.0157396
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2878781{col 26}{space 2}  .085685{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.4572311{col 67}{space 3}-.1185251
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3082675{col 26}{space 2} .1109491{col 37}{space 1}   -2.78{col 46}{space 3}0.006{col 54}{space 4} -.527554{col 67}{space 3} -.088981
{txt}{space 12} {c |}
{space 4}ncitypop {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0913313{col 26}{space 2}  .053557{col 37}{space 1}   -1.71{col 46}{space 3}0.090{col 54}{space 4}-.1971846{col 67}{space 3}  .014522
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0575363{col 26}{space 2} .0509666{col 37}{space 1}   -1.13{col 46}{space 3}0.261{col 54}{space 4}-.1582698{col 67}{space 3} .0431972
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1101791{col 26}{space 2}  .064006{col 37}{space 1}   -1.72{col 46}{space 3}0.087{col 54}{space 4}-.2366844{col 67}{space 3} .0163262
{txt}{space 12} {c |}
{space 6}tyrate {c |}{col 14}{res}{space 2} .0737187{col 26}{space 2} .0196626{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0348563{col 67}{space 3}  .112581
{txt}{space 3}nptubrate {c |}{col 14}{res}{space 2} .0109335{col 26}{space 2} .0204635{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-.0295118{col 67}{space 3} .0513788
{txt}{space 7}fborn {c |}{col 14}{res}{space 2}-.0677722{col 26}{space 2} .3022127{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.6650833{col 67}{space 3} .5295388
{txt}{space 7}white {c |}{col 14}{res}{space 2}-1.445899{col 26}{space 2} .2266255{col 37}{space 1}   -6.38{col 46}{space 3}0.000{col 54}{space 4}-1.893815{col 67}{space 3}-.9979831
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0359889{col 26}{space 2}  .010062{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .0161017{col 67}{space 3}  .055876
{txt}{space 5}popfive {c |}{col 14}{res}{space 2}-.0002059{col 26}{space 2} .0001667{col 37}{space 1}   -1.23{col 46}{space 3}0.219{col 54}{space 4}-.0005354{col 67}{space 3} .0001236
{txt}{space 4}popsixty {c |}{col 14}{res}{space 2} .0007957{col 26}{space 2} .0004266{col 37}{space 1}    1.87{col 46}{space 3}0.064{col 54}{space 4}-.0000475{col 67}{space 3} .0016389
{txt}{space 2}statepcpav {c |}{col 14}{res}{space 2} .0031321{col 26}{space 2} .0333068{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.0626974{col 67}{space 3} .0689616
{txt}{space 1}statetempav {c |}{col 14}{res}{space 2} .1142082{col 26}{space 2} .0345696{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0458827{col 67}{space 3} .1825338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  1.92908{col 26}{space 2} .3609287{col 37}{space 1}    5.34{col 46}{space 3}0.000{col 54}{space 4} 1.215719{col 67}{space 3} 2.642441
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table7, bdec(3) ctitle("Non-Inf. Mort")  excel append label
{txt}{browse `"table7.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table7.txt", label"':seeout}

{com}. 
. *Table 1A With city FE (in appendix)
. reg infrate i.nregion#c.time i.lead#c.time i.cityd if ph~=. , robust cluster(cityd)
{p 0 6 2}{txt}note: 3.lead#c.time omitted because of collinearity{p_end}

Linear regression                                      Number of obs ={res}     974
                                                       {help j_robustsingular:F(  5,   239) =}       .
                                                       {txt}Prob > F      = {res}      .
                                                       {txt}R-squared     = {res} 0.8170
                                                       {txt}Root MSE      = {res} .06518

{txt}{ralign 80:(Std. Err. adjusted for {res:240} clusters in cityd)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       infrate{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nregion#c.time {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.0117025{col 28}{space 2} .0011483{col 39}{space 1}  -10.19{col 48}{space 3}0.000{col 56}{space 4}-.0139647{col 69}{space 3}-.0094404
{txt}{space 12}2  {c |}{col 16}{res}{space 2}-.0088023{col 28}{space 2}  .001268{col 39}{space 1}   -6.94{col 48}{space 3}0.000{col 56}{space 4}-.0113001{col 69}{space 3}-.0063044
{txt}{space 12}3  {c |}{col 16}{res}{space 2}-.0047203{col 28}{space 2} .0008572{col 39}{space 1}   -5.51{col 48}{space 3}0.000{col 56}{space 4}-.0064089{col 69}{space 3}-.0030316
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.0093939{col 28}{space 2}  .001262{col 39}{space 1}   -7.44{col 48}{space 3}0.000{col 56}{space 4}-.0118799{col 69}{space 3}-.0069079
{txt}{space 14} {c |}
{space 3}lead#c.time {c |}
{space 12}1  {c |}{col 16}{res}{space 2}  .002134{col 28}{space 2} .0012253{col 39}{space 1}    1.74{col 48}{space 3}0.083{col 56}{space 4}-.0002797{col 69}{space 3} .0045477
{txt}{space 12}2  {c |}{col 16}{res}{space 2}-.0001955{col 28}{space 2} .0011986{col 39}{space 1}   -0.16{col 48}{space 3}0.871{col 56}{space 4}-.0025566{col 69}{space 3} .0021656
{txt}{space 12}3  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 9}cityd {c |}
{space 11}30  {c |}{col 16}{res}{space 2}-.0955231{col 28}{space 2}  .017676{col 39}{space 1}   -5.40{col 48}{space 3}0.000{col 56}{space 4}-.1303438{col 69}{space 3}-.0607024
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{txt}{space 10}130  {c |}{col 16}{res}{space 2} .1753241{col 28}{space 2} .0246714{col 39}{space 1}    7.11{col 48}{space 3}0.000{col 56}{space 4} .1267231{col 69}{space 3} .2239252
{txt}{space 10}150  {c |}{col 16}{res}{space 2} .1260397{col 28}{space 2} .0169523{col 39}{space 1}    7.43{col 48}{space 3}0.000{col 56}{space 4} .0926448{col 69}{space 3} .1594346
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{txt}{space 10}350  {c |}{col 16}{res}{space 2} .1601943{col 28}{space 2} .0246361{col 39}{space 1}    6.50{col 48}{space 3}0.000{col 56}{space 4} .1116628{col 69}{space 3} .2087259
{txt}{space 10}370  {c |}{col 16}{res}{space 2}   .09969{col 28}{space 2} .0169523{col 39}{space 1}    5.88{col 48}{space 3}0.000{col 56}{space 4} .0662951{col 69}{space 3} .1330849
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{txt}{space 10}630  {c |}{col 16}{res}{space 2} .0401721{col 28}{space 2} .0182458{col 39}{space 1}    2.20{col 48}{space 3}0.029{col 56}{space 4} .0042291{col 69}{space 3} .0761151
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{space 9}_cons {c |}{col 16}{res}{space 2} .2788134{col 28}{space 2} .0186848{col 39}{space 1}   14.92{col 48}{space 3}0.000{col 56}{space 4} .2420054{col 69}{space 3} .3156214
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table1a, bdec(4) ctitle("Inf. Mort")  excel replace
{txt}{browse `"table1a.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table1a.txt""':seeout}

{com}. reg infrate i.nregion#c.time i.lead#c.time i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav i.cityd if ph~=. , robust cluster(cityd)
{p 0 6 2}{txt}note: 3.lead#c.time omitted because of collinearity{p_end}
{p 0 6 2}note: 7590.cityd omitted because of collinearity{p_end}
{p 0 6 2}note: 7610.cityd omitted because of collinearity{p_end}

Linear regression                                      Number of obs ={res}     974
                                                       {help j_robustsingular:F( 13,   239) =}       .
                                                       {txt}Prob > F      = {res}      .
                                                       {txt}R-squared     = {res} 0.8271
                                                       {txt}Root MSE      = {res}  .0637

{txt}{ralign 80:(Std. Err. adjusted for {res:240} clusters in cityd)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       infrate{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nregion#c.time {c |}
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{space 3}lead#c.time {c |}
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{space 6}ncitypop {c |}
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{res}{txt}
{com}. outreg2 using table1a, bdec(4) ctitle("Inf. Mort")  excel append
{txt}{browse `"table1a.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table1a.txt""':seeout}

{com}. reg infrate i.nregion#c.time i.lead1#c.time i.cityd if ph~=. , robust cluster(cityd)
{p 0 6 2}{txt}note: 6.lead1#c.time omitted because of collinearity{p_end}

Linear regression                                      Number of obs ={res}     974
                                                       {help j_robustsingular:F(  8,   239) =}       .
                                                       {txt}Prob > F      = {res}      .
                                                       {txt}R-squared     = {res} 0.8223
                                                       {txt}Root MSE      = {res} .06435

{txt}{ralign 80:(Std. Err. adjusted for {res:240} clusters in cityd)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       infrate{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nregion#c.time {c |}
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{space 2}lead1#c.time {c |}
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{space 9}cityd {c |}
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{space 9}_cons {c |}{col 16}{res}{space 2} .2742518{col 28}{space 2} .0218859{col 39}{space 1}   12.53{col 48}{space 3}0.000{col 56}{space 4} .2311379{col 69}{space 3} .3173658
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using table1a, bdec(4) ctitle("Inf. Mort")  excel append
{txt}{browse `"table1a.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table1a.txt""':seeout}

{com}. reg infrate i.nregion#c.time i.lead1#c.time i.ncitypop tyrate nptubrate fborn white momshare statepcpav statetempav i.cityd if ph~=. , robust cluster(cityd)
{p 0 6 2}{txt}note: 6.lead1#c.time omitted because of collinearity{p_end}
{p 0 6 2}note: 7590.cityd omitted because of collinearity{p_end}
{p 0 6 2}note: 7610.cityd omitted because of collinearity{p_end}

Linear regression                                      Number of obs ={res}     974
                                                       {help j_robustsingular:F( 16,   239) =}       .
                                                       {txt}Prob > F      = {res}      .
                                                       {txt}R-squared     = {res} 0.8329
                                                       {txt}Root MSE      = {res} .06276

{txt}{ralign 80:(Std. Err. adjusted for {res:240} clusters in cityd)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       infrate{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
nregion#c.time {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.0062332{col 28}{space 2}  .001894{col 39}{space 1}   -3.29{col 48}{space 3}0.001{col 56}{space 4}-.0099643{col 69}{space 3}-.0025021
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{txt}{space 14} {c |}
{space 2}lead1#c.time {c |}
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{txt}{space 12}6  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 6}ncitypop {c |}
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{txt}{space 14} {c |}
{space 9}cityd {c |}
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{res}{txt}
{com}. outreg2 using table1a, bdec(4) ctitle("Inf. Mort")  excel append label
{txt}{browse `"table1a.xml"'}
{browse `"/Users/kclay/Dropbox/Lead/lead/data sets and do files"' :dir}{com} : {txt}{stata `"seeout using "table1a.txt", label"':seeout}

{com}. 
. log close _all
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/kclay/Dropbox/Lead/lead/data sets and do files/restat_replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 8 Oct 2014, 16:14:23
{txt}{.-}
{smcl}
{txt}{sf}{ul off}